metadata
library_name: transformers
language:
- ht
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
datasets:
- haitian-creole-asr
metrics:
- wer
model-index:
- name: Ayira Medium
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: Haitian Creole ASR Dataset
type: haitian-creole-asr
args: 'language: ht, split: train'
metrics:
- type: wer
value: 0.1610558530986993
name: Wer
Ayira Medium
This model is a fine-tuned version of openai/whisper-medium on the Haitian Creole ASR Dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.2185
- Wer: 0.1611
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1675 | 1.0 | 339 | 0.2434 | 0.2363 |
| 0.1356 | 2.0 | 678 | 0.2046 | 0.3384 |
| 0.0581 | 3.0 | 1017 | 0.1919 | 0.2433 |
| 0.0289 | 4.0 | 1356 | 0.1972 | 0.1909 |
| 0.0192 | 5.0 | 1695 | 0.2027 | 0.1787 |
| 0.005 | 6.0 | 2034 | 0.2043 | 0.1019 |
| 0.0036 | 7.0 | 2373 | 0.2093 | 0.1450 |
| 0.0006 | 8.0 | 2712 | 0.2147 | 0.1264 |
| 0.0004 | 9.0 | 3051 | 0.2162 | 0.1624 |
| 0.0003 | 10.0 | 3390 | 0.2185 | 0.1611 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1